/*
 * Copyright 2016 The BigDL Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.intel.analytics.bigdl.python.api

import com.intel.analytics.bigdl.nn.onnx.Shape
import com.intel.analytics.bigdl.tensor.TensorNumericMath.TensorNumeric
import scala.reflect.ClassTag


class PythonBigDLOnnx[T: ClassTag](implicit ev: TensorNumeric[T]) extends PythonBigDL[T] {

  def createShape(): Shape[T] = {
    Shape()
  }

}


object PythonBigDLOnnx {

  def ofFloat(): PythonBigDLOnnx[Float] = new PythonBigDLOnnx[Float]()

  def ofDouble(): PythonBigDLOnnx[Double] = new PythonBigDLOnnx[Double]()

}
